@inproceedings{caa13c55a4d941cab5870b1d56939d39,
title = "A task scheduling policy for heterogeneous MapReduce cluster",
abstract = "MapReduce is a programming model and its associated run-time system proposed in 2004, which can process large scale of data in clusters with simple program logic. MapReduce has a potential problem running on a cooperative cluster which is combined with machines having different configurations. The problem will cause unexpected performance degradations and should be avoided. In this paper, a task scheduling policy is proposed to take higher utilization of all computing nodes in heterogeneous clusters.",
author = "Chiu, {Chui Ming} and Huang, {Sheng Wei} and Huang, {Tzu Chi} and Shieh, {Ce Kuen} and Tsai, {Ming Fong} and Chen, {Lien Wu}",
year = "2015",
month = jan,
day = "1",
doi = "10.3233/978-1-61499-484-8-420",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "420--429",
editor = "Chu, {William Cheng-Chung} and Yang, {Stephen Jenn-Hwa} and Han-Chieh Chao",
booktitle = "Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014",
address = "Netherlands",
note = "International Computer Symposium, ICS 2014 ; Conference date: 12-12-2014 Through 14-12-2014",
}